Skip to main content
Join the official 2019 Python Developers SurveyStart the survey!

Allows to create and train fully connected feedforward deep neural networks in a simple way.

Project description

Neural Network Builder The neural network class is in NeuralNet.py. It allows to easily create fully connected feedforward networks of any size allowed by available memory. It uses numpy arrays as the primary data structure for the weight matrices. With this class you can create deep neural networks very quickly (see some of the example files to see how to use it).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for netbuilder, version 0.2.3
Filename, size File type Python version Upload date Hashes
Filename, size netbuilder-0.2.3-py3-none-any.whl (19.1 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size netbuilder-0.2.3.tar.gz (15.9 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page